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congretimbau
belisards/congretimbau
congretimbau is a fill-mask model from belisards. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as mit.
This model is a continuously trained version of BERTimbau on a dataset with bills of Brazilian law proposals.
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334M
1.3 GB on disk
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Sep 27, 2024
- Updated
- Feb 16, 2025
- SHA
- cbbfc9de
Base models
Model card
From the Hugging Face model README
congretimbau
This model is a continuously trained version of BERTimbau on a dataset with bills of Brazilian law proposals.
It achieves the following results on the evaluation set:
- eval_loss: 0.4885
- eval_runtime: 798.5704
- eval_samples_per_second: 169.279
- eval_steps_per_second: 1.324
- epoch: 2.3669
- step: 10000
Training and evaluation data
Data from the Chamber of Deputies and the Federal Senate.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 300
- num_epochs: 10
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- License
- mit
- Languages
- pt
- Created
- Sep 27, 2024
- Updated
- Feb 16, 2025